Free template: use AI to automatically standardize your PDF data
Automatically standardize your PDF data without writing a single line of code.
The Parabola Team
Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.
- Set up your data source by creating a new Parabola flow and uploading your PDF files.
- Extract and prepare your PDF content for standardization. Configure any necessary preprocessing steps.
- Use Parabola's AI standardization tools to define your formatting rules. This step lets you specify how the AI should normalize your document data.
- Apply any additional processing needed, such as text formatting or field standardization.
- Generate your results by previewing the standardized data and running your automated flow. Once configured, this process will handle new PDFs automatically.
How to use PDFs with Parabola
Parabola's PDF handling capabilities enable you to extract and transform data from PDF documents efficiently.
- Automatic text extraction from both searchable and scanned PDFs
- Flexible parsing options for structured and unstructured PDF content
- Batch processing capabilities for multiple PDF files
Retrieving data from PDFs
Parabola's PDF data extraction functionality enables you to convert PDF documents into structured, analyzable data. The platform can handle various PDF formats and layouts, making it versatile for different business needs.
Key features
- Text and table extraction
- Multi-page document support
- Pattern recognition
- Structured data output
- Batch processing capability
How to use
- Add the Pull from PDF file step to your Flow
- Upload your PDF file
- Configure extraction settings, including column names and keys
- Run the step to extract the data
- Add examples and fine tune your extraction settings for more accurate parsing
Applying AI to standardize your data
Once you have imported your data into Parabola, you can use the Standardize with AI step to automatically clean and standardize it. This step leverages large language models to identify and correct inconsistencies, typos, and other data quality issues.
Key features
- Automatically standardizes values similar to those that you explicitly specify
- Add additional fine tuning to improve results from the model
- Supports a wide range of data types and formats
How to use
- Drag the Standardize with AI step onto your Flow's canvas, after you pull your data
- Specify whether you'd like to standardize values within a column or column names
- Define the value(s) you'd like to specify, including example values
- Click "Update results" to apply the AI-powered standardization to your data.
- Review and refine the standardization results as needed
Practical use cases and examples
Standardizing invoice data from PDF files
Many businesses receive invoices in PDF format from their suppliers. By using Parabola to extract and standardize the data from these invoices, you can streamline your accounts payable process, improve data accuracy, and gain better visibility into your spending.
Extracting and analyzing product information from PDF catalogs
If your business sells products that are described in PDF catalogs, you can use Parabola to automatically extract the product details, such as descriptions, prices, and SKUs. This can help you keep your product information up-to-date, analyze trends, and make more informed decisions about your product offerings.
Consolidating data from multiple PDF reports
Many organizations receive data in the form of PDF reports from various sources, such as government agencies or industry associations. By using Parabola to extract and consolidate this data, you can create a centralized repository of information that can be easily analyzed and shared across your organization.
In conclusion, Parabola's ability to work with PDF data and leverage AI-powered standardization can help you streamline your data processing workflows, improve data quality, and gain valuable insights from your PDF documents.
